Consulting Analyst Intern
Future Mode
United StatesFresher28m agovia LinkedIn
This job at a glance
- Who can apply
- New grads, no experience needed · Bachelor's degree
- Must know
- CybersecurityStakeholder management
- Nice to have
- OperationsSpringMachine learning
- Work
- On-site in United States · internship
- Pay
- Not stated by the employer.
- Skill demand
- Stakeholder management57%Operations39%Cybersecurity2%Spring1%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 8, 2026 · still open
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About the Role
This is an 8–12-week summer internship for students interested in digital transformation and innovation consulting. The internship takes place in Summer and is a remote position located anywhere in the United States. The ability to travel up to 50% of the time is critical.
Key Responsibilities
- Consult and advise clients on designing and implementing digital technologies to drive business innovation and enhance customer experiences.
- Optimize innovation, strategy, product development, manufacturing, and broader supply chain processes within Professional Services capabilities, including Consulting, Cybersecurity, Data Science & Internet of Things, Enterprise Technology, and Manufacturing Operations.
- Collaborate with clients and internal stakeholders to develop solutions and contribute to research and innovation.
- Drive internal initiatives and contribute to the development of fellow interns and company culture.
Requirements & Tech Stack
- Legal authorization to work in the U.S.
- Ability to travel up to 50% of the time.
Qualifications
- A bachelor's degree in progress from an accredited college or university.
- Preferred: An undergraduate Business, Computer Science, Data Science, Engineering, Management Information Systems, Supply Chain Management or similar degree in progress with a 3.2 cumulative GPA or higher and an expected graduation date of Spring 2028.
- Preferred: Demonstrated abilities in leadership, team building, presentations and customer interaction.
- Preferred: Proficiency with Machine Learning model development and mathematical disciplines.
- Preferred: Interned with the company in the past or met them at an event.